Lore: Banking
Your institutional knowledge keeper — policy lookups, procedure guidance, training Q&A, and regulatory reference for bank staff.
Live system: RAG-based internal knowledge platform for bank staff. Indexes policies, procedures, and regulatory documents with semantic search and AI-powered Q&A. Routes com…
What ships
- Policy Search — Natural language search across internal policies, procedures…
- Procedure Guidance — Step-by-step procedure guidance with links to relevant docum…
- Training Q&A — AI-powered training assistant for onboarding and continuous …
- Regulatory Reference — Quick access to regulatory requirements and compliance guide…
- Document Summarization — AI-generated summaries of lengthy policies and regulatory do…
- Expert Routing — Intelligent routing to subject matter experts when AI confid…
Human signs every critical step • Audit trail included
Sample output & architecture
Why Azure AI Foundry + LangChain wins
Azure AI Foundry provides RAG capabilities with document intelligence. LangChain orchestrates the search and Q&A workflow with tool integration for banking systems.
How Lore works — < 2 seconds to first value
Query Processing → Knowledge Retrieval → Response Generation → delivery. Full 5-step trail collapses below.
Full 5-step audit trail
- • Manual Banking process
- • No audit trail
- • No evidence for inspector/investor
- • Hire + train + maintain
- • No re-run if product changes
- • Hard to show investor quickly
Multi-agent mesh — orchestrated
Live system presentation
Lore · Agent Mesh
Query Processing
Staff submits knowledge query via search or chat.
Objections, answered
If it’s not answered, you’ll hesitate. So we answer it here.
Get Lore live — without the Banking drag.
Your institutional knowledge keeper — policy lookups, procedure guidance, training Q&A, and regulatory reference for bank staff.… Implementation: Document Ingestion → Search Engine → Q&A System → Production Launch.
Questions? Talk to a human • Responses in < 24h • Human signs every critical step